GenAI Solutions Architect - Assoc Dir / Dir (Remote or Hybrid)

S&P Global, Inc.; Columbia (SC); Remote; USD 150,000 - 230,000; Full time

Job summary

Join a dynamic team as a GenAI Solutions Architect, where you will lead the development of innovative AI architecture strategies and collaborate with cross-functional teams to enhance AI capabilities. This role offers the opportunity to shape the future of AI solutions, ensuring scalable and reliable infrastructure while engaging with stakeholders to align technical milestones with business objectives. If you are passionate about AI and eager to influence strategic decisions, this position is perfect for you. Embrace the chance to work in a forward-thinking environment that values creativity and innovation, while making a significant impact on the industry.

Benefits

Health care coverage

Generous time off

Continuous learning resources

Retirement planning

Family friendly perks

Retail discounts

Referral incentive awards

Qualifications

• 8+ years experience in ML engineering or data science roles.
• 4+ years in ML architecture design for enterprise AI solutions.

Responsibilities

• Develop and implement AI architecture strategies for model deployment.
• Collaborate with teams to ensure smooth integration of ML models.

Skills

AI Architecture Strategy

ML Architecture Design

Stakeholder Engagement

Data Engineering

Agile Frameworks

Cloud Platforms (AWS, GCP, Azure)

Kubernetes

Python

SQL/NoSQL

MLOps

Education

Bachelor's degree in Computer Science

Master's degree in Engineering

Tools

Databricks

MLflow

Flink

Airflow

Job description

About the Role:

Grade Level (for internal use): 13

The Role: GenAI Solutions Architect - Assoc Dir / Dir

The Team: The Data Science COE at S&P Global delivers AI capabilities and advancements to our S&P Global Ratings products and services. The AI ML team within the COE is comprised of experts in AI ML modeling, ML engineers, and data science and data engineering teams.

Responsibilities include:

• GenAI Architecture Strategy: Develop and implement AI architecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop architecture roadmap and strategy for GenAI Platforms and tech stacks.
• ML Architecture Design and Development: Responsible for the design and development of custom AI architecture for batch and stream processing-based AI ML pipelines including data ingestion to preprocessing to scaled AI model compute and ensure the architecture meets all SLA requirements. Work closely with members of technology and business teams in the design, development, and implementation of Enterprise AI platform.
• Internal Collaboration: Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
• Stakeholder Engagement and Collaboration: Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements.
• AI Infrastructure Architecture: Oversee the design of scalable and reliable infrastructure for AI, ML, GenAI, LLM model training and deployment.
• AI Model Deployment Architecture: Lead the architecture of GenAI, LLM, machine learning models deployment patterns in production environments, with design patterns that ensure reliability and scalability.
• AI Monitoring Architecture: Create design of GenAI robust monitoring systems to track model performance, data quality, and infrastructure.
• Security and Compliance: Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations.
• Documentation: Maintain comprehensive documentation of AI processes and procedures for reference and knowledge sharing.
• Standards and Best Practices: Ensure the use of standards, governance, and best practices in AI pipeline monitoring and ML model monitoring, and adherence to model and data governance standards.
• Problem Solving: Troubleshoot complex issues related to machine learning model deployments and data pipelines, and develop innovative solutions.
• Serve as a thought leader in generative AI, influencing both technical strategy and executive-level decisions.
• Build and scale production-ready AI systems that operate reliably at enterprise levels, ensuring long-term business impact.
• Exceptional presentation skills to convey technical concepts to non-technical stakeholders.
• Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership.
• Passion for staying ahead of AI trends and leveraging emerging technologies.
• Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.

*Occasional travel may be required.

Compensation/Benefits Information (US Applicants Only):

S&P Global states that the anticipated base salary range for this position is 150,000 – 230,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

What We’re Looking For:

Basic Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experienced professional (8+ years experience) as ML engineer, architect, lead data scientist in Big Data ecosystem or any similar distributed or public cloud platform, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
• 4+ years hands-on experience in ML architecture design and implementation for large-scale enterprise AI solutions and AI products.
• 4+ years’ experience with Business, Product Stakeholder Engagement and Collaboration: Demonstrated success collaborating with business, product and PM stakeholders in AI roadmap planning and implementation efforts and ensure technical milestones align with business requirements.
• Experience working in Agile frameworks and delivery methods (scaled Agile, SAFe, etc.).
• Expertise (4+ years) in the design and development of complex data-driven architectures for distributed computing and orchestration technology (Kubernetes, Ray, Airflow) and scaling.
• Experience with public cloud platform & system architectures (AWS, GCP, Azure).
• Proficiency with Databricks, MLflow, Flink, or similar AI/ML technologies.
• Experience with SQL, NoSQL, ElasticSearch, MongoDB, and Spark, Python, PySpark for model development and ML Ops.
• Knowledge of DevOps, MLOps principles and practices, and experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong familiarity with higher level trends in LLMs and open-source platforms.

Additional Preferred Qualifications:

• Experience with contributing to Github and open source initiatives or in research projects.

Right to Work Requirements:

This role is limited to persons with indefinite right to work in the United States.

Return to Work:

Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.

About S&P Global Ratings
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.

S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Diversity, Equity, and Inclusion at S&P Global:

At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation – Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn’t stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all.

S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email